{
  "fetched_at": "2026-10-20T10:24:41Z",
  "source_url": "https://www.kaggle.com/competitions/cola-out-of-domain-open-evaluation/data",
  "pages": [
    {
      "name": "rules",
      "content": "    <h3>One account per participant</h3>\n    <p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\n    <h3>No private sharing outside teams</h3>\n    <p>\n        Privately sharing code or data outside of teams is not permitted.\n        It's okay to share code if made available to all participants on the forums.\n    </p>\n    <h3>Team Mergers</h3>\n    <p>Team mergers are not allowed in this competition.</p>\n\n    <h3>Team Limits</h3>\n    <p>There is no maximum team size.</p>\n    <h3>Submission Limits</h3>\n    <p>You may submit a maximum of 2 entries per day.</p>\n    <p>You may select up to 2 final submissions for judging.</p>\n    <h3>Competition Timeline</h3>\n    <p>Start Date: <strong>TBA</strong></p>\n    <p>Merger Deadline: <strong>None</strong></p>\n    <p>Entry Deadline: <strong>None</strong></p>\n    <p>End Date: <strong>12/31/2021 12:00 AM UTC</strong></p>\n<p>The rules page is a bit special: it will auto-update the text based on the parameters of the competition. The rules you need to add here are any additional rules relating to dataset usage. You may also put grading information here.</p>",
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    {
      "name": "data-description",
      "content": "This page contains the out-of-domain test data for CoLA: `cola_out_of_domain_test.tsv`\n\nThe training and dev sets can be downloaded in .tsv format on the [CoLA website][1].\n\n`cola_out_of_domain_test.tsv` contains two columns, **Id** and **Sentence**.  For submission you will have to generate a **CSV** with two columns, **Id** and **Label** where **Id** is same and **Label** is *0* or *1* depicting whether **Sentence** is grammatical or not.\n\n\n  [1]: https://nyu-mll.github.io/CoLA/ \"CoLA website\"",
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    },
    {
      "name": "Description",
      "content": "This competition allows for public evaluation on the in-domain test subset of the Corpus of Linguistic Acceptability (CoLA). More information about the corpus can be found <a href=\"https://nyu-mll.github.io/CoLA/\">here</a>.\n\nThe end date of the competition will be extended indefinitely. Accordingly the leaderboard reflects results on the full in-domain test set from any time period.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "To receive out-of-domain test results, submit a CSV file containing the Id and a predicted label ('0' or '1') for each example in the in-domain test set. The submission CSV must contain two columns 'Id' and 'Label'.\n\nScore will be calculated as the <a href=\"https://en.wikipedia.org/wiki/Matthews_correlation_coefficient\">Matthew's Correlation Coefficient</a> of predictions.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
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}